Triple

T10387343
Position Surface form Disambiguated ID Type / Status
Subject Silly Swirly Fun Ride E244795 entity
Predicate city P40 FINISHED
Object Universal City E102732 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Universal City | Statement: [Silly Swirly Fun Ride, city, Universal City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Universal City
Context triple: [Silly Swirly Fun Ride, city, Universal City]
  • A. Universal City
    Universal City is a suburban community in the San Antonio metropolitan area of south-central Texas, known for its proximity to Randolph Air Force Base.
  • B. Universal City, California chosen
    Universal City, California is an unincorporated community in Los Angeles County best known as the home of the Universal Studios film studio and theme park complex.
  • C. Universal City Station
    Universal City Station is a railway station in Osaka, Japan, serving as the primary train access point for visitors to Universal Studios Japan and the surrounding entertainment district.
  • D. Hollywood
    Hollywood is a residential neighborhood in Homewood, Alabama, known for its historic homes and suburban character just outside Birmingham.
  • E. Hollywood
    Hollywood is a residential neighborhood in the city of College Park, Maryland, known for its suburban character and proximity to the University of Maryland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9a4e6748190bd9dd319de94c659 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc1eb7348190b9f3c473443bacf3 completed April 10, 2026, 11:16 a.m.
Created at: April 6, 2026, 12:05 p.m.